Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review
B Lokaj, MT Pugliese, K Kinkel, C Lovis, J Schmid - European radiology, 2024 - Springer
Objective Although artificial intelligence (AI) has demonstrated promise in enhancing breast
cancer diagnosis, the implementation of AI algorithms in clinical practice encounters various …
cancer diagnosis, the implementation of AI algorithms in clinical practice encounters various …
Should AI models be explainable to clinicians?
In the high-stakes realm of critical care, where daily decisions are crucial and clear
communication is paramount, comprehending the rationale behind Artificial Intelligence (AI) …
communication is paramount, comprehending the rationale behind Artificial Intelligence (AI) …
Assessing the documentation of publicly available medical image and signal datasets and their impact on bias using the BEAMRAD tool
Medical datasets are vital for advancing Artificial Intelligence (AI) in healthcare. Yet biases in
these datasets on which deep-learning models are trained can compromise reliability. This …
these datasets on which deep-learning models are trained can compromise reliability. This …
AI competitions as infrastructures of power in medical imaging
This article examines how platform-based AI competitions structure power relations in
medical imaging research. It focuses on two leading platforms, Kaggle and Grand …
medical imaging research. It focuses on two leading platforms, Kaggle and Grand …
The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool
DB Resnik, M Hosseini - AI and Ethics, 2024 - Springer
Using artificial intelligence (AI) in research offers many important benefits for science and
society but also creates novel and complex ethical issues. While these ethical issues do not …
society but also creates novel and complex ethical issues. While these ethical issues do not …
Prompt engineering: The next big skill in rheumatology research
V Venerito, D Lalwani, S Del Vescovo… - International Journal …, 2024 - Wiley Online Library
Large language models (LLMs) like GPT‐4 and Claude are catalyzing transformation across
medical research including rheumatology. This review examines their applications …
medical research including rheumatology. This review examines their applications …
Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations
The proliferation of artificial intelligence (AI) in radiology has shed light on the risk of deep
learning (DL) models exacerbating clinical biases towards vulnerable patient populations …
learning (DL) models exacerbating clinical biases towards vulnerable patient populations …
Data bias: ethical considerations for understanding diversity in medical artificial intelligence
SS Kurapati, A Yaghy, AG Shukla - AI and Ethics, 2024 - Springer
The increasing integration of artificial intelligence (AI) across society, especially in medicine,
raises serious concerns regarding the ethics of whom these systems truly represent …
raises serious concerns regarding the ethics of whom these systems truly represent …
A Large Medical Model based on Visual Physiological Monitoring for Public Health
The widespread outbreak of the COVID-19 pandemic has sounded a warning about the
globalization challenges in public health. In this context, the establishment of large-scale …
globalization challenges in public health. In this context, the establishment of large-scale …
Study Protocol: Development and Retrospective Validation of an Artificial Intelligence System for Diagnostic Assessment of Prostate Biopsies
Histopathological evaluation of prostate biopsies using the Gleason scoring system is critical
for prostate cancer diagnosis and treatment selection. However, grading variability among …
for prostate cancer diagnosis and treatment selection. However, grading variability among …